2015
DOI: 10.1016/j.solener.2015.04.025
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Application of genetic algorithm with multi-objective function to improve the efficiency of glazed photovoltaic thermal system for New Delhi (India) climatic condition

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Cited by 41 publications
(9 citation statements)
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“…Factors such as length, depth of the channel, the velocity of air flowing into the channel, the thickness of the Tedlar and glass and the temperature of inlet fluid affecting the efficiency of the PV/T system. The results indicated that the 4.6% and 13.14% enhancement in the overall exergy and thermal efficiency noticed [19].…”
Section: Milestones That Paved the Way For The Evolution Of Pv/t Systemsmentioning
confidence: 95%
See 1 more Smart Citation
“…Factors such as length, depth of the channel, the velocity of air flowing into the channel, the thickness of the Tedlar and glass and the temperature of inlet fluid affecting the efficiency of the PV/T system. The results indicated that the 4.6% and 13.14% enhancement in the overall exergy and thermal efficiency noticed [19].…”
Section: Milestones That Paved the Way For The Evolution Of Pv/t Systemsmentioning
confidence: 95%
“…Several researchers conducted both experimental and theoretical analysis on the PV/T system performance with different modifications such as glazing [12]- [14], without glazing [15], channel arrangements [16], [17], environmental parameters [18] and optimisation of air channel depth [19], [20]. They found some impressive results, and few of them are discussing here.…”
Section: Milestones That Paved the Way For The Evolution Of Pv/t Systemsmentioning
confidence: 99%
“…Ammar et al [134] developed the thermal energy distribution model based on ANN to calculate the optimum performance operating point of PV/T water collector. Singh et al [135] investigated the performance of PV/T air collector using GA by optimizing its four parameters particularly length of the channel, depth of the channel, heat transfer coefficient and fluid velocity. The overall η Ex of the system was reported 16.88% at the optimized value of parameters, as shown in Table 2.…”
Section: Role Of Soft-computing Techniques In Forecasting the Performance Of Pv/t Technologymentioning
confidence: 99%
“…As observed in [23][24][25] the simulated operation of microgrids is well-reported in literature but data analysis gathered from physically installed sites is neglected. No experimental tests are used to verify the ideal simulated models reported in [26][27][28][29][30]. Many studies e.g.…”
Section: Fig 1 Islanded Renewable Energy Microgridmentioning
confidence: 99%